The measurement of neutrino mass ordering (MO) is a fundamental element for the understanding of leptonic flavour sector of the Standard Model of Particle Physics. Its determination relies on the precise measurement of [Formula: see text] and [Formula: see text] using either neutrino vacuum oscillations, such as the ones studied by medium baseline reactor experiments, or matter effect modified oscillations such as those manifesting in long-baseline neutrino beams (LB[Formula: see text]B) or atmospheric neutrino experiments. Despite existing MO indication today, a fully resolved MO measurement ([Formula: see text]) is most likely to await for the next generation of neutrino experiments: JUNO, whose stand-alone sensitivity is [Formula: see text], or LB[Formula: see text]B experiments (DUNE and Hyper-Kamiokande). Upcoming atmospheric neutrino experiments are also expected to provide precious information. In this work, we study the possible context for the earliest full MO resolution. A firm resolution is possible even before 2028, exploiting mainly vacuum oscillation, upon the combination of JUNO and the current generation of LB[Formula: see text]B experiments (NOvA and T2K). This opportunity is possible thanks to a powerful synergy boosting the overall sensitivity where the sub-percent precision of [Formula: see text] by LB[Formula: see text]B experiments is found to be the leading order term for the MO earliest discovery. We also found that the comparison between matter and vacuum driven oscillation results enables unique discovery potential for physics beyond the Standard Model.
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http://dx.doi.org/10.1038/s41598-022-09111-1 | DOI Listing |
BMC Public Health
December 2024
Department of Hospital Infection Control, Tongji Hospital, School of Medicine, Tongji University, Shanghai, 200065, China.
Background: The burden of cardiovascular disease (CVD) is severe worldwide. Although many studies have investigated the association of particulate pollution with CVD, the effect of finer particulate pollution components on CVD remains unclear. This study aimed to explore the effect of five PM components ([Formula: see text], sulfate; [Formula: see text], nitrate; [Formula: see text], ammonium; OM, organic matter; BC, carbon black) on CVD admission in Shanghai City, identify the susceptible population, and provide clues for the prevention and control of particulate pollution.
View Article and Find Full Text PDFIn Vivo
December 2024
Department of Pharmacology, School of Dentistry, Aichi Gakuin University, Nagoya, Japan;
Background/aim: Gangliosides regulate bone formation and resorption. Bone formation is reduced in mice lacking ganglioside GM2/GD2 synthase due to a decrease in osteoblasts. However, the effects of the loss of complex gangliosides by the deletion of both GM2/GD2 and GD3 synthases are unknown.
View Article and Find Full Text PDFIn Vivo
December 2024
Department of Diagnostic and Interventional Radiology, University of Leipzig, Leipzig, Germany;
Background/aim: The recently published Node-Reporting and Data System (Node-RADS) can aid the characterization of lymph nodes in cross-sectional imaging. This study investigated the Node-RADS system in computed tomography (CT) to characterize lymph nodes in esophageal cancer.
Patients And Methods: Overall, 126 patients (15 female, 11.
PLoS One
December 2024
Tandy School of Computer Science, The University of Tulsa, Tulsa, OK, United States of America.
In this manuscript, we present a novel mathematical model for understanding the dynamics of HIV/AIDS and analyzing optimal control strategies. To capture the disease dynamics, we propose a new Caputo-Fabrizio fractional-order mathematical model denoted as SEIEUPIATR, where the exposed class is subdivided into two categories: exposed-identified EI and exposed-unidentified EU individuals. Exposed-identified individuals become aware of the disease within three days, while exposed-unidentified individuals remain unaware for more than three days.
View Article and Find Full Text PDFSci Rep
December 2024
School of Information Technology, Northwest University, Xi'an, 710127, Shaanxi, China.
Passive temperature sensing systems based on the Internet of Things (IoT) present an efficient, reliable, and convenient solution for temperature monitoring with extensive application prospects and market value. This paper introduces a passive, battery-free, chipless, metasurface temperature sensing tag. The key insight is that the sensing tag uses vanadium dioxide ([Formula: see text]) to solve the problems of measuring distance, large size, and high cost related to active devices.
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